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Nishant Kumar and Stefan Gumhold
Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical image ...
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Ho-Hyoung Choi, Hyun-Soo Kang and Byoung-Ju Yun
One of the significant qualities of the human vision, which differentiates it from computer vision, is so called attentional control, which is the innate ability of our human eyes to select what visual stimuli to pay attention to at any moment in time. I...
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Zheming Zuo, Bo Wei, Fei Chao, Yanpeng Qu, Yonghong Peng and Longzhi Yang
Egocentric video analysis is an important tool in healthcare that serves a variety of purposes, such as memory aid systems and physical rehabilitation, and feature extraction is an indispensable process for such analysis. Local feature descriptors have b...
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Hongmei Liu, Jinhua Liu and Mingfeng Zhao
To improve the invisibility and robustness of the multiplicative watermarking algorithm, an adaptive image watermarking algorithm is proposed based on the visual saliency model and Laplacian distribution in the wavelet domain. The algorithm designs an ad...
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Chunxing Wang, Teng Zhang, Wenbo Wan, Xiaoyue Han and Meiling Xu
The just noticeable distortion (JND) model plays an important role in measuring the visual visibility for spread transform dither modulation (STDM) watermarking. However, the existing JND model characterizes the suprathreshold distortions with an equal s...
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